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Build Python Extensions for Apache Arrow Data with nanoarrow
Comprehensive PyArrow Training for Efficient Data Processing in Python
WEBINAR: Fast and Scalable Analytics with Apache Arrow: Expert Insights & Examples
Wes McKinney - Apache Arrow: Present & Future
Maciej Wojton: Free Your Esoteric Data Using Apache Arrow and Python | PyData New York 2019
An Introduction to Arrow for Python Programmers
How Apache Arrow Made Spark Faster: A 10-Year Journey
Alessandro Molina - Apache Arrow as a full stack data engineering solution
Talk - Deepak K Gupta: Speed Up Data Access with PyArrow Apache Arrow Data is the new API
What Is Apache Arrow Explained by Matt Topol | Dremio
Zero-Copy or Zero-Speed The hidden overhead of PySpark, Arrow & SynapseML for inference
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Last Updated: September 27, 2026
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Viktor Kessler linkedin.com/in/viktor-kessler/ Machine learning (ML) and deep learning (DL) fields have made amazing progress in the past few years. Modern ML/DL ... nanoarrow is a fantastic library to use when interacting with Join Matt Topol and Jacek Soubusta for a live online session discussing the ins and outs of For more talks and to view corresponding slides, go to scaledml.org, select [media archive]. Presented at the 5th Annual Scaled ... Do you work with esoteric data that has no schema, no human-readable output, and/or inconsistent interfaces? Is your data only ... Speaker: Marlene Mhangami, Developer Advocate at Voltron Data This talk is an introduction to For years, PySpark users faced a silent performance killer: the "Serialization Wall." While Spark was revolutionary for distributed ... Till now we're used to accessing data over API's and the API's used to make sure that we get the data in the desired format which ... Recorded at PyCon DE & PyData 2026, 16.04.2026 2026.pycon.de/talks/TPNBRN/ Watch Petar Ilijevski dismantle the ...
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